改进粒子群优化算法在亚轨道飞行器固液混合发动机设计中的应用

针对粒子群优化算法在求解多维复杂优化问题时容易陷入局部最优的缺点,提出了动态目标粒子群优化算法,通过分析寻优过程中粒子与个体最优位置和全局最优位置之间存在的位置关系,建立了新的速度更新公式.最后,应用该算法对某型号亚轨道飞行器固液混合发动机进行了优化设计.仿真结果表明,改进算法搜索能力强、收敛速度快,能有效解决此类问题...

Optimal design of hybrid rocket motor for sub-orbital vehicle based on improved particle swarm optimization

An improved particle swarm optimization(PSO),called as dynamic target particle swarm optimization (DTPSO),was proposed to use dynamic target strategy for solving complex multi-dimensional optimization problems by analyzing the position between individual particles,personal best and global best.As a specific example,the DTPSO was applied to the optimal design for hybrid rocket for a certain hybrid rocket motor of sub-orbital vehicle.The optimization results show that algorithm has strong search capability,and can also reach convergence rapidly and solve such problem effectively.All those can provide a theoretical reference for the research of sub-orbital vehicle engine's optimal design.